Forward-Deployed AI Engineer — Build Production AI

Matcha; New York (NY); Remote; USD 176,000 - 228,000; Full time

Benefits offered by this job

Equity

Visa sponsorship

Job summary

Matcha is hiring an AI Field Engineer to join our high-velocity AI team. You will work directly with ambitious AI-native customers to turn complex AI challenges into production-ready systems and build POCs, MVPs, and production integrations.

You’ll deploy LLM workloads, collaborate with engineers and executives, and contribute to our platform with hands-on coding and deployment. This role blends AI engineering with customer delivery and product feedback.

Qualifications

• 3–10 years of experience in a client-facing technical or AI/ML engineering role.

Responsibilities

• Work directly with customers to understand their technical and business challenges.
• Design and build POCs, MVPs, and production AI applications.
• Deploy and optimize LLM and generative AI workloads in production.
• Work with open-source models, inference infrastructure, and AI/ML platforms.
• Collaborate with customer engineering teams, account executives, and Fireworks product/engineering teams.
• Translate customer requirements into scalable technical solutions.
• Troubleshoot complex AI, infrastructure, and deployment challenges.
• Communicate technical architecture and tradeoffs to both engineers and executive stakeholders.
• Contribute code and product improvements directly to the codebase.
• Turn customer learnings into product feedback and help shape our roadmap.
• Take ownership of projects from initial discovery through production deployment.

Skills

Python programming

LLM workloads

Open-source AI

AI/ML engineering

Customer-facing

Tools

vLLM

SGLang

TensorRT-LLM

Kubernetes

AWS

Azure

GCP

Bedrock/SageMaker

Vertex AI

GPU infrastructure

Model inference

Job description

Matcha is hiring an AI Field Engineer to join our high-velocity AI team. You will work directly with ambitious AI-native customers to turn complex AI challenges into production-ready systems and build POCs, MVPs, and production integrations.

You’ll deploy LLM workloads, collaborate with engineers and executives, and contribute to our platform with hands-on coding and deployment. This role blends AI engineering with customer delivery and product feedback.